Accurately classify the fraudulent transactions from Xente's e-commerce platform Xente is an e-commerce and financial service app serving 10,000+ customers in Uganda.This dataset includes a sample of approximately 140,000 transactions that occurred betw
The objective of this project is to create a machine learning model to detect fraudulent transaction
34th Place Finish: Zindi.africa Xente Fraud Detection Challenge # Xente Fraud Detection Challenge *
Xente Fraud Detection Challenge on zindi.africa # Xente Fraud Detection Challenge This is the 11th
Xente Fraud Detection Challenge on Zindi Africa
This is a notebook of zindi.africa data science competition of Xente Fraud Detection